Relationship Between Sleep EEG, Intraoperative EEG and Postoperative Cognitive Dysfunction (SOMEDYSPO)

October 24, 2023 updated by: Assistance Publique - Hôpitaux de Paris

The challenge of new recommendations and better adapted practices is pushing to operate patients who are getting older and more fragile. In this context, there is an inevitable increase in the risks associated with care and in particular perioperative neurological complications, of which postoperative cognitive dysfunction (POCD) is the most common.

The interest of perioperative cerebral monitoring and in particular electroencephalography (EEG) to reduce neurological and cognitive damage in surgery has been the subject of abundant research and corresponds to a crucial issue.

From the literature and preliminary results obtained in our clinical research unit, it appears that there is also a relationship between certain characteristics of the peroperative EEG (signal strength and burst suppression) and the occurrence of postoperative cognitive dysfunction (PCOD).

In this context, quantitative analysis of the preoperative sleep EEG and the EEG obtained during general anesthesia could allow the identification of a simple to use biomarker of susceptibility or fragility. To our knowledge, there is no preoperative evaluation strategy using EEG analysis to detect a predisposition to POCD.

The main goal of this observational clinical study is to extend the traditional use of per-operative EEG with pre-operative and post-operative sleep EEG for the detection and prediction of early post-operative cognitive dysfunction.

Study Overview

Detailed Description

The interest of perioperative brain monitoring to reduce neurological and cognitive damage in surgery has been the subject of much research and corresponds to a crucial issue.

The notion of quantitative EEG covers all the electrical signal processing techniques (fast Fourier transformation, evoked potentials, EEG mapping, etc.) made possible through the digitization of EEG data and the development of software to process these signals. In this context, EEG-derived indices have been set up to monitor hypnosis during general anesthesia. Between 0 (deep hypnosis) and 100 (awakening), the Bispectral Index (BIS) integrates in its calculation the percentage of fast waves, the degree of wave synchronization and the periods of EEG suppression (or "Burst suppression") and allows an adaptation of the dosage of anesthetic products according to its value.

Avoiding too deep anesthesia through neuro-monitoring could help to reduce postoperative delirium by reducing the burst suppression pattern.

Pre-operative cognitive status assessment :

The investigators observe a great delay in the means implemented to have an objective evaluation of cognitive disorders in preoperative care.

One of the pitfalls of our anesthetist specialty is the lack of continuity of medical care in the perioperative period.

The geriatric evaluation including a MMSE (mental mini state examination) and a MoCA (Montreal cognitive assessment) is performed only occasionally.

Interest of the resting pre-operative EEG :

Sleep EEG analysis is already used in cognitive studies. Slow Wave Activity (SWA) is a parameter known to be inversely correlated with chronological age and lowered more significantly in the context of cognitive dysfunction.

The power of spindles or sleep spindles and particularly fast spindles have been shown to be potentially predictive of poor cognitive development in patients already showing symptoms (Mild Cognitive Impairment).

It is likely that per operative susceptibility to Burst suppression and the appearance of postoperative cognitive dysfunction are linked to a set of per operative factors (anesthesia, surgery, inflammation, pain...) but also preoperative factors (cognitive state, physiological age and cerebral fragility...).

The investigators hypothesize that there is an association between preoperative resting EEG abnormalities and the risk of postoperative cognitive dysfunction.

The goal of this observational clinical study is to assess the fragility of a patient under general anesthesia and based on the perioperative quantitative analysis EEG. Thus, this project should help specialists in perioperative medicine to identify patients at risk of cognitive dysfunction and could lead to proposing strategies for its prevention.

Measures are based on neuro-psychological tests (Montreal cognitive assesment -MoCA) and EEG signal and subfrequency power spectral densities including alpha band as well as the amount of Propofol, each measured for EEG periods where SEF 95 = 8-13Hz.

Analysis includes the characteristics of the preoperative sleep EEG (SWA, fast spindles).

Experimental design: This is a single-center, observational prospective study.

Population concerned :

Patients eligible for interventional neuroradiology or surgery performed under General Anesthesia are selected to participate in this prospective, observational, single-center, routine care study. Patients will be included if they received, for a non-urgent scheduled procedure.

Patients over 18 years of age are eligible to participate in this protocol. During the anesthesia consultation, they will be given a hand-delivered letter of information on the objectives and the course of the study. Their non-opposition to participating in this study will be collected at the latest during the pre-anesthetic visit, on the eve of the operation after a period of reflection.

The protocol will start the day before the intervention. The interventions will be performed under general anaesthesia. The protocol does not interact with the care procedure. All the measures are obtained non-invasively.

The day before the procedure: performance of a sleep EEG (DREEM®) and a MoCA test. On the day of the procedure, monitoring of the depth of anesthesia using the quantitative EEG (Sedline Masimo®) ensures continuous recording of intraoperative EEG data. Postoperatively the same investigator performs MoCA at Day1, Day2 and Day5. A sleep EEG (DREEM®) is performed at Day2 and Day5 if the patient is still hospitalized.

During their general anesthesia, all patients' routine monitoring will consist in collecting the following parameters: electrocardiogram, pulsated oxygen saturation, endtidal CO2, respiratory rate, tidal volume and neuromuscular function.

For all patients whatever the comorbidities, anesthesia induction will be performed using a target-controlled infusion (Orchestra® Base Primea - Fresenius Kabi France).

No additional additional examination will be performed. The anesthetic strategy is decided by the anesthetist in charge of the procedure.

The doctor in charge of the study collecting the data does not interfere at any time in the management of the patient. The measurements cannot influence the prescribing physician since at this stage the data are not yet analysed and available.

Number of selected subjects: Assuming an incidence of DCPO of 30%, with power at 80% and alpha risk at 5%, it is necessary to include 100 patients to demonstrate an area under the ROC curve of 80% with a confidence interval width of 0.1

Statistics:

Continuous data will be expressed in median [interquartile] and qualitative data in n (%). Categorical variables will be compared by Mann-Whitney test and continuous variables by Wilcoxon test.

In this study, the primary endpoint was the occurrence of post-operative cognitive dysfunction, defined as a decrease in MoCA score of more than 4 points between preoperative and postoperative periods (worst value of the score measured at D1, D2 and D5). The main exposure is the quantitative score obtained from the analysis of the pre-operative sleep EEG.

The ability of the various parameters of interest of the preoperative sleep EEG to predict the occurrence of DCPO will be estimated by constructing an ROC curve. The area of these ROC curves will be measured and the corresponding 95% confidence interval estimated. The areas under the ROC curve of the different parameters will be compared by DeLong test. A uni- and then multivariate analysis will be performed to identify the clinical parameters associated with the occurrence of a DCPO. The possible added value of the sleep EEG parameters on the clinical parameters will be evaluated by reclassification techniques.

The statistical analysis will be carried out using the statistical analysis software "R" (The R Foundation, Vienna, Austria)

Study Type

Observational

Enrollment (Estimated)

100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

      • Paris, France, 75010
        • Recruiting
        • AP-HP, Lariboisière Hospital, Department of Anesthesiology and Intensive Care
        • Contact:
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Patients eligible for a non-emergency scheduled interventional neuroradiology procedure or surgery performed under general anesthesia.

Description

Inclusion Criteria:

  • Major patients (≥ 18 years )
  • Eligible for an interventional radiology procedure or surgery under general anesthesia
  • Patients informed and having expressed their non-opposition to participation in this research

Exclusion Criteria:

  • Patients under 18 years old
  • Severe pre-existing cognitive impairment (preoperative mini-mental state examination (MMSE) < 24)
  • Patient opposed to protocol participation
  • Pregnant woman
  • Patient under judicial protection
  • Patient without affiliation to a social security scheme
  • Emergency procedure

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Patients undergoing general anesthesia
Patients eligible for interventional neuroradiology or surgery performed under general anesthesia. Patients will be included if they are admitted for a non-emergency scheduled procedure.
Sleep EEG recording using a Dreem® headband (Rythm, Paris, France), an EEG recording device adapted to sleep conditions and completely non-invasive
Neuropsychological assessment using the The Montreal Cognitive Assessment (MoCA) questionnaire to detect postoperative cognitive dysfunction
Intraoperative brain function monitoring using a Sedline® module (Masimo corporation) to evaluate the state of the brain under anesthesia

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Early postoperative cognitive dysfunction
Time Frame: Change between day -1 and day 5
Score obtained following evaluation of the patient's cognitive function using the Montreal Cognitive Assessment questionnaire MoCA (0-30; higher score indicates better performance)
Change between day -1 and day 5

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Burst suppression duration
Time Frame: Duration of the surgical intervention or interventional neuroradiology procedure (maximum 1 day)
For all patients the values of Burst Suppression (in % of time) will be collected from frontal electrodes montage (Fp1, Fp2, F7, F8) during the total anesthesia period (induction and hypnotic periods)
Duration of the surgical intervention or interventional neuroradiology procedure (maximum 1 day)
Variations in alpha power on sleep EEG
Time Frame: Change between day -1 and day 5
Variations in alpha power (in Decibel, Db) on the pre-operative and post-operative sleep EEG
Change between day -1 and day 5
Spindle amplitude on sleep EEG
Time Frame: Change between day -1 and day 5
Spindle amplitude (in Decibel, Db) on preoperative and postoperative sleep EEG
Change between day -1 and day 5
Spindle frequency on sleep EEG
Time Frame: Change between day -1 and day 5
Spindle frequency (in Hertz, Hz) on preoperative and postoperative sleep EEG
Change between day -1 and day 5

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Joaquim MATEO, MD, Assistance Publique - Hôpitaux de Paris
  • Principal Investigator: Fabrice VALLEE, MD, Assistance Publique - Hôpitaux de Paris

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 15, 2020

Primary Completion (Estimated)

June 1, 2024

Study Completion (Estimated)

June 1, 2024

Study Registration Dates

First Submitted

June 23, 2020

First Submitted That Met QC Criteria

July 17, 2020

First Posted (Actual)

July 22, 2020

Study Record Updates

Last Update Posted (Actual)

October 25, 2023

Last Update Submitted That Met QC Criteria

October 24, 2023

Last Verified

October 1, 2023

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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